Dark-age reionization and galaxy formation simulation - XIX. Predictions of infrared excess and cosmic star formation rate density from UV observations

Yisheng Qiu, Simon J. Mutch, Elisabete da Cunha, Gregory B. Poole, J. B. Stuart Wyithe

    Research output: Contribution to journalArticlepeer-review

    15 Citations (Scopus)

    Abstract

    We present a new analysis of high-redshift UV observations using a semi-analytic galaxy formation model, and provide self-consistent predictions of the infrared excess (IRX)-β relations and cosmic star formation rate density. We combine the Charlot & Fall dust attenuation model with the MERAXES semi-analytic model, and explore three different parametrizations for the dust optical depths, linked to star formation rate, dust-to-gas ratio, and gas column density, respectively. A Bayesian approach is employed to statistically calibrate model-free parameters including star formation efficiency, mass loading factor, dust optical depths, and reddening slope directly against UV luminosity functions and colour-magnitude relations at z ∼ 4-7. The best-fitting models show excellent agreement with the observations. We calculate IRX using energy balance arguments and find that the large intrinsic scatter in the IRX-β plane correlates with specific star formation rate. Additionally, the difference among the three dust models suggests at least a factor of 2 systematic uncertainty in the dust-corrected star formation rate when using the Meurer IRX-β relation at z ≿ 4.

    Original languageEnglish
    Pages (from-to)1357-1372
    Number of pages16
    JournalMonthly Notices of the Royal Astronomical Society
    Volume489
    Issue number1
    DOIs
    Publication statusPublished - 11 Oct 2019

    Fingerprint

    Dive into the research topics of 'Dark-age reionization and galaxy formation simulation - XIX. Predictions of infrared excess and cosmic star formation rate density from UV observations'. Together they form a unique fingerprint.

    Cite this